\toprule
\multicolumn{3}{l}{\textbf{Panel A: Negative and positive weights}}\\
 & Sum & Mean & Share \\  \cmidrule(lr){2-4}
Negative & -0.245 & -0.003 & 0.164 \\
Positive & 1.245 & 0.010 & 0.836 \\
\multicolumn{5}{l}{\textbf{Panel B: Correlations of Industry Aggregates} }\\
 &$\alpha_k$ & $g_{k}$ & $\beta_k$ & $F_{k}$ & Var($z_k$) \\
\cmidrule(lr){2-6} 
 & \\
 $\alpha_k$             & 1\\
 $g_{k}$                &   -0.090  & 1\\
 $\beta_{k}$             &   0.034  & 0.160    &1\\
 $F_{k}$                &   0.757  & -0.162    &  0.059  & 1\\
 Var($z_{k}$)           &   0.519  & -0.049    &  0.048  &  0.437   &1\\
\multicolumn{5}{l}{\textbf{Panel C: Variation across years in $\alpha_{k}$}}\\
 & Sum & Mean \\  \cmidrule(lr){2-3}
2000 & 1.000 & 0.005 \\
\multicolumn{5}{l}{\textbf{Panel D: Top 5 Rotemberg weight industries} }\\
 & $\hat{\alpha}_{k}$ & $g_{k}$ & $\hat{\beta}_{k}$ & 95 \% CI & Ind Share \\ \cmidrule(lr){2-6}
Oil+Gas Extraction & 0.138 & 0.075 & 3.673 & (-100.00,100.00)  & 0.252 \\ 
Miscellaneous plastics products & 0.054 & -0.051 & 2.613 & (-100.00,100.00)  & 0.577 \\ 
Furniture and fixtures & 0.054 & -0.040 & 0.278 & (-100.00,100.00)  & 0.572 \\ 
Electrical machinery & 0.065 & -0.031 & 0.136 & (-100.00,100.00)  & 1.194 \\ 
Motor Vehicles & 0.293 & -0.034 & 2.639 & (-100.00,100.00)  & 1.405 \\ 
\multicolumn{5}{l}{\textbf{Panel E: Estimates of $\beta_{k}$ for positive and negative weights} }\\
 & $\alpha$-weighted Sum & Share of overall $\beta$ & Mean  \\ \cmidrule(lr){2-3}
 Negative & 0.371 & 0.146 &-6.498 \\
 Positive & 2.171 & 0.854 & 0.311 \\
\bottomrule
